Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Abilityai/abilities --skill save-conversationgit clone --depth 1 https://github.com/Abilityai/abilitiesWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/abilityai/abilities/save-conversation)<a href="https://agentmods.dev/skills/abilityai/abilities/save-conversation"><img src="https://agentmods.dev/badge/skills/abilityai/abilities/save-conversation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/abilityai/abilities/save-conversation"><img src="https://agentmods.dev/badge/skills/abilityai/abilities/save-conversation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00029 | $0.01595 |
| Opus 5.5 | $0.00012 | $0.00638 |
| Sonnet 5.5 | $0.00006 | $0.00319 |
| Haiku 4.5 | $0.00003 | $0.00160 |
Grade A, and why
save-conversation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Save Conversation
ℹ️ First, set expectations: before anything else, print one short line with this skill's version and its most recent change — the top entry of
metadata.changelogabove — e.g.save-conversation vX.Y — recent: <summary>. Then proceed.
Capture the current conversation as a markdown file in a standardized folder structure. Unlike automatic session logs, this is selective - only save conversations worth preserving.
When to Use
- Completed a meaningful task you want to reference later
- Had a discussion with important decisions or insights
- Debugging session with a solution worth documenting
- Research conversation with findings to preserve
- Any conversation that shouldn't disappear into the void
Configuration
Storage Location
Default: saved-conversations/ in the current working directory.
Create a .conversation-config file to customize:
storage_path: ./my-conversations
Or use environment variable: CONVERSATION_STORAGE_PATH
Workflow
Step 1: Determine Topic Name
If provided as argument ($ARGUMENTS), use it.
Otherwise, derive from the conversation:
- Identify the primary goal or topic discussed
- Use lowercase-with-hyphens format
- Be descriptive:
debug-auth-token-refreshnotdebugging - Prefix with category when appropriate:
research-,fix-,setup-
If unclear, ask the user for a topic name.
Step 2: Check Storage Location
Check for .conversation-config file:
cat .conversation-config 2>/dev/null || echo "not found"
Check environment variable:
echo "${CONVERSATION_STORAGE_PATH:-not set}"
Default to saved-conversations/ if neither exists.
Step 3: Generate Filename
Format: YYYY-MM-DD_[topic-name].md
Example: 2025-02-20_debug-auth-token-refresh.md
If file already exists, append incrementing number:
2025-02-20_topic.md2025-02-20_topic-2.md2025-02-20_topic-3.md
Step 4: Analyze Conversation
Review the current conversation to extract:
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 272 lines · 29 tokens per session scan A 9c0d90a5fec2
save-conversation is a skill published in the GitHub repository Abilityai/abilities (12 stars, last pushed 3d ago), licensed MIT. It adds 29 tokens to every session and 1,595 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-07.
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